APA (7th ed.) Citation

Cai, Y., Feng, X., Tao, X., Li, P., Liu, J., Liu, P., & Xiao, M. (2026). An Integrated Machine-Learning and Reverse Network-Pharmacology Pipeline Reveals JUN /C3 Candidate Biomarkers and an Anti-Fibrotic Mechanism of Resveratrol via MAPK/JNK Signaling in Chronic Kidney Disease. International Journal of Molecular Sciences, 27(10), 4252. https://doi.org/10.3390/ijms27104252

Chicago Style (17th ed.) Citation

Cai, Yuan, Xiaolong Feng, Xinru Tao, Penghui Li, Jiaqin Liu, Ping'an Liu, and Mengxiong Xiao. "An Integrated Machine-Learning and Reverse Network-Pharmacology Pipeline Reveals JUN /C3 Candidate Biomarkers and an Anti-Fibrotic Mechanism of Resveratrol via MAPK/JNK Signaling in Chronic Kidney Disease." International Journal of Molecular Sciences 27, no. 10 (2026): 4252. https://doi.org/10.3390/ijms27104252.

MLA (9th ed.) Citation

Cai, Yuan, et al. "An Integrated Machine-Learning and Reverse Network-Pharmacology Pipeline Reveals JUN /C3 Candidate Biomarkers and an Anti-Fibrotic Mechanism of Resveratrol via MAPK/JNK Signaling in Chronic Kidney Disease." International Journal of Molecular Sciences, vol. 27, no. 10, 2026, p. 4252, https://doi.org/10.3390/ijms27104252.